David A. Bruckenstein

1.0k total citations
9 papers, 862 citations indexed

About

David A. Bruckenstein is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, David A. Bruckenstein has authored 9 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Cell Biology. Recurrent topics in David A. Bruckenstein's work include DNA and Nucleic Acid Chemistry (3 papers), Nerve injury and regeneration (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). David A. Bruckenstein is often cited by papers focused on DNA and Nucleic Acid Chemistry (3 papers), Nerve injury and regeneration (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). David A. Bruckenstein collaborates with scholars based in United States and United Kingdom. David A. Bruckenstein's co-authors include Dennis Higgins, Lee E. Babiss, John Bisi, Stephen A. Thomson, Michele A. Bonham, Stewart A. Noble, Jeffery C. Hanvey, Ann L. Boyd, Robert T. Fremeau and Pamela J. Lein and has published in prestigious journals such as Science, Nucleic Acids Research and Neuron.

In The Last Decade

David A. Bruckenstein

9 papers receiving 814 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David A. Bruckenstein United States 8 729 144 73 69 59 9 862
Michael A. Balamotis United States 10 530 0.7× 72 0.5× 138 1.9× 65 0.9× 46 0.8× 10 640
Maryanne Pendergast United States 10 406 0.6× 213 1.5× 92 1.3× 299 4.3× 32 0.5× 11 765
A Loewy United States 7 250 0.3× 100 0.7× 38 0.5× 174 2.5× 13 0.2× 8 452
A F Ross United States 15 985 1.4× 198 1.4× 71 1.0× 191 2.8× 9 0.2× 17 1.1k
John E. Morris United States 16 376 0.5× 82 0.6× 52 0.7× 196 2.8× 24 0.4× 23 561
Markus Fiedler Germany 14 453 0.6× 207 1.4× 21 0.3× 48 0.7× 24 0.4× 17 698
C. Jacobs United States 6 408 0.6× 101 0.7× 49 0.7× 86 1.2× 10 0.2× 6 562
Chun Ren Lim Japan 13 404 0.6× 76 0.5× 51 0.7× 69 1.0× 18 0.3× 18 591
Craig Spiro United States 13 674 0.9× 286 2.0× 179 2.5× 34 0.5× 20 0.3× 19 903
Jnanankur Bag Canada 18 777 1.1× 65 0.5× 65 0.9× 58 0.8× 14 0.2× 53 887

Countries citing papers authored by David A. Bruckenstein

Since Specialization
Citations

This map shows the geographic impact of David A. Bruckenstein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David A. Bruckenstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Bruckenstein more than expected).

Fields of papers citing papers by David A. Bruckenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Bruckenstein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David A. Bruckenstein. The network helps show where David A. Bruckenstein may publish in the future.

Co-authorship network of co-authors of David A. Bruckenstein

This figure shows the co-authorship network connecting the top 25 collaborators of David A. Bruckenstein. A scholar is included among the top collaborators of David A. Bruckenstein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David A. Bruckenstein. David A. Bruckenstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Noble, Stewart A., Michele A. Bonham, John Bisi, et al.. (1995). Impact of biophysical parameters on the biological assessment of peptide nucleic acids, antisense inhibitors of gene expression. Drug Development Research. 34(2). 184–195. 22 indexed citations
2.
Bonham, Michele A., Stephen Brown, Ann L. Boyd, et al.. (1995). An assessment of the antisense properties of RNase H-competent and steric-blocking oligomers. Nucleic Acids Research. 23(7). 1197–1203. 134 indexed citations
3.
Hanvey, Jeffery C., Nancy J. Peffer, John Bisi, et al.. (1992). Antisense and Antigene Properties of Peptide Nucleic Acids. Science. 258(5087). 1481–1485. 440 indexed citations
4.
Bruckenstein, David A., Pamela J. Lein, Dennis Higgins, & Robert T. Fremeau. (1990). Distinct spatial localization of specific mRNAs in cultured sympathetic neurons. Neuron. 5(6). 809–819. 127 indexed citations
5.
Bruckenstein, David A., Mary I. Johnson, & Dennis Higgins. (1989). Age-dependent changes in the capacity of rat sympathetic neurons to form dendrites in tissue culture. Developmental Brain Research. 46(1). 21–32. 8 indexed citations
6.
Bruckenstein, David A. & Dennis Higgins. (1988). Morphological differentiation of embryonic rat sympathetic neurons in tissue culture. Developmental Biology. 128(2). 324–336. 61 indexed citations
7.
Bruckenstein, David A. & Dennis Higgins. (1988). Morphological differentiation of embryonic rat sympathetic neurons in tissue culture. Developmental Biology. 128(2). 337–348. 40 indexed citations
8.
Springate, James E., Barbara R. Rennick, P J Palumbo, David A. Bruckenstein, & M Acara. (1988). Excretion and metabolism of nicotinic acid by the avian kidney.. Journal of Pharmacology and Experimental Therapeutics. 244(3). 797–801. 2 indexed citations
9.
Vogt, Volker M., et al.. (1982). Avian sarcoma virus gag precursor polypeptide is not processed in mammalian cells. Journal of Virology. 44(2). 725–730. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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